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An Information-Theoretic Analysis of the Cost of Decentralization for Learning and Inference under Privacy Constraints
In vertical federated learning (FL), the features of a data sample are distributed across multiple agents. As such, inter-agent collaboration can be beneficial not only during the learning phase, as is the case for standard horizontal FL, but also during the inference phase. A fundamental theoretica...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9030603/ https://www.ncbi.nlm.nih.gov/pubmed/35455148 http://dx.doi.org/10.3390/e24040485 |